2) GaitGraph [1]} is a recent model-based gait recognition method.
It models the 2D skeleton as a graph and adopts a Graph Convolution Network, i.e., the ResGCN [2]}, to learn features by the contrastive loss.
We train GaitGraph in two stages.
The setting of the first stage is the same as PoseGait, and the model trained in the first stage is used as the pre-trained model of the second stage.
In the second stage, we fine-tune it for 250 epochs.
